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Mathematical statistics; Data processing

Most popular at the top

  • Instant R Starterby Donato Teutonico

    Packt Publishing 2013; US$ 7.99

    Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks.A practical, quick, and hands-on guide to the R language.This book is for people who are interested in an introduction to the R environment. You will not need any specific knowledge of programming or... more...

  • Survival Analysis Using S: Analysis of Time-to-Event Databy Mara Tableman; Jong-Sung Kim

    Chapman & Hall/CRC 2003; US$ 84.95

    Survival Analysis Using S: Analysis of Time-to-Event Data is designed as text for a one-semester class in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. It requires only a first course in probability and statistics as a prerequisite. The authors emphasize parametric models and the advantages of... more...

  • The R Bookby Michael J. Crawley

    Wiley 2007; US$ 130.00

    The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging... more...

  • Programmieren mit R (Statistik und ihre Anwendungen) (German Edition)by Uwe Ligges

    Springer 2007; Not Available

    R ist eine objekt-orientierte und interpretierte Sprache und Programmierumgebung für Datenanalyse und Grafik. Dieses Buch führt ausführlich in die Grundlagen von R ein. Außerdem vermittelt es eingängig die Struktur der Sprache und ermöglicht es so dem Leser, leicht eigene Methoden umzusetzen, Objektklassen zu definieren und ganze Pakete aus Funktionen... more...

  • Compstat 2006 - Proceedings in Computational Statisticsby Alfredo Rizzi; Maurizio Vichi

    Springer 2007; US$ 129.99

    Provides the developments in data analysis and statistical multivariate methods, computational statistics and algorithms, including topics which are of central interest to modern statistics. This book offers advanced methodologies and computational methods which are very helpful to analyze real phenomena characterized by large data bases. more...

  • Statistics and Data with Rby Yosef Cohen; Jeremiah Y. Cohen

    Wiley 2008; US$ 105.00

    R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including Medicine,... more...

  • Applied Econometrics with Rby Christian Kleiber; Achim Zeileis

    Springer 2008; US$ 69.95

    Offers an introduction to the R system for users with a background in economics. This book covers a variety of regression models, regression diagnostics and robustness issues, the nonlinear models of microeconomics, time series and time series econometrics. more...

  • Understanding Statistical Concepts Using S-plusby Randall E. Schumacker; Allen Akers

    Taylor and Francis 2001; US$ 85.00

    Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set of objectives and a summary. The... more...

  • R for SAS and SPSS Usersby Robert A. Muenchen

    Springer 2008; US$ 74.95

    R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. more...

  • Computational Statisticsby Springer

    Springer 2009; US$ 99.00

    Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide... more...